CKD Dataset EDA Report

Dataset statistics

Number of variables	26
Number of observations	400
Missing cells	1009
Missing cells (%)	9.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	81.4 KiB
Average record size in memory	208.3 B

Variable types

Numeric	11
Categorical	12
Boolean	3

Alerts

`white_blood_cell_count` has a high cardinality: 92 distinct values	High cardinality
`id` is highly overall correlated with `albumin` and 5 other fields	High correlation
`albumin` is highly overall correlated with `id` and 7 other fields	High correlation
`sugar` is highly overall correlated with `blood_glucose_random`	High correlation
`blood_glucose_random` is highly overall correlated with `sugar`	High correlation
`blood _urea` is highly overall correlated with `serum_creatinine` and 1 other fields	High correlation
`serum_creatinine` is highly overall correlated with `id` and 3 other fields	High correlation
`sodium` is highly overall correlated with `albumin` and 1 other fields	High correlation
`potassium` is highly overall correlated with `packed_cell_volume` and 1 other fields	High correlation
`hemoglobine` is highly overall correlated with `id` and 9 other fields	High correlation
`specific_gravety` is highly overall correlated with `ckd`	High correlation
`red_blood_cells` is highly overall correlated with `id` and 3 other fields	High correlation
`pus_cell` is highly overall correlated with `albumin` and 4 other fields	High correlation
`pus_cell_clumps` is highly overall correlated with `pus_cell`	High correlation
`packed_cell_volume` is highly overall correlated with `potassium` and 6 other fields	High correlation
`red_blood_cell_count` is highly overall correlated with `potassium` and 4 other fields	High correlation
`hypertension` is highly overall correlated with `id` and 6 other fields	High correlation
`diabetes_mellitias` is highly overall correlated with `hypertension`	High correlation
`anemia` is highly overall correlated with `hemoglobine` and 2 other fields	High correlation
`ckd` is highly overall correlated with `id` and 7 other fields	High correlation
`pus_cell_clumps` is highly imbalanced (51.2%)	Imbalance
`bacteria` is highly imbalanced (69.0%)	Imbalance
`diabetes_mellitias` is highly imbalanced (54.9%)	Imbalance
`coronary_artery_disease` is highly imbalanced (70.6%)	Imbalance
`age` has 9 (2.2%) missing values	Missing
`blood_pressure` has 12 (3.0%) missing values	Missing
`specific_gravety` has 47 (11.8%) missing values	Missing
`albumin` has 46 (11.5%) missing values	Missing
`sugar` has 49 (12.2%) missing values	Missing
`red_blood_cells` has 152 (38.0%) missing values	Missing
`pus_cell` has 65 (16.2%) missing values	Missing
`blood_glucose_random` has 44 (11.0%) missing values	Missing
`blood _urea` has 19 (4.8%) missing values	Missing
`serum_creatinine` has 17 (4.2%) missing values	Missing
`sodium` has 87 (21.8%) missing values	Missing
`potassium` has 88 (22.0%) missing values	Missing
`hemoglobine` has 52 (13.0%) missing values	Missing
`packed_cell_volume` has 70 (17.5%) missing values	Missing
`white_blood_cell_count` has 105 (26.2%) missing values	Missing
`red_blood_cell_count` has 130 (32.5%) missing values	Missing
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`albumin` has 199 (49.8%) zeros	Zeros
`sugar` has 290 (72.5%) zeros	Zeros

Reproduction

Analysis started	2022-12-28 02:45:34.298979
Analysis finished	2022-12-28 02:45:58.304965
Duration	24.01 seconds
Software version	pandas-profiling vv3.6.1
Download configuration	config.json

id
Real number (ℝ)

HIGH CORRELATION UNIFORM UNIQUE

Distinct	400
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	199.5

Minimum	0
Maximum	399
Zeros	1
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	0
5-th percentile	19.95
Q1	99.75
median	199.5
Q3	299.25
95-th percentile	379.05
Maximum	399
Range	399
Interquartile range (IQR)	199.5

Descriptive statistics

Standard deviation	115.6143
Coefficient of variation (CV)	0.57952031
Kurtosis	-1.2
Mean	199.5
Median Absolute Deviation (MAD)	100
Skewness	0
Sum	79800
Variance	13366.667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.2%
263	1	0.2%
273	1	0.2%
272	1	0.2%
271	1	0.2%
270	1	0.2%
269	1	0.2%
268	1	0.2%
267	1	0.2%
266	1	0.2%
Other values (390)	390	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.2%
1	1	0.2%
2	1	0.2%
3	1	0.2%
4	1	0.2%
5	1	0.2%
6	1	0.2%
7	1	0.2%
8	1	0.2%
9	1	0.2%

Value	Count	Frequency (%)
399	1	0.2%
398	1	0.2%
397	1	0.2%
396	1	0.2%
395	1	0.2%
394	1	0.2%
393	1	0.2%
392	1	0.2%
391	1	0.2%
390	1	0.2%

age
Real number (ℝ)

Distinct	76
Distinct (%)	19.4%
Missing	9
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	51.483376

Minimum	2
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	2
5-th percentile	19
Q1	42
median	55
Q3	64.5
95-th percentile	74.5
Maximum	90
Range	88
Interquartile range (IQR)	22.5

Descriptive statistics

Standard deviation	17.169714
Coefficient of variation (CV)	0.33350016
Kurtosis	0.057840495
Mean	51.483376
Median Absolute Deviation (MAD)	10
Skewness	-0.66825947
Sum	20130
Variance	294.79908
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	19	4.8%
65	17	4.2%
48	12	3.0%
50	12	3.0%
55	12	3.0%
47	11	2.8%
56	10	2.5%
59	10	2.5%
45	10	2.5%
54	10	2.5%
Other values (66)	268	67.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.2%
3	1	0.2%
4	1	0.2%
5	2	0.5%
6	1	0.2%
7	1	0.2%
8	3	0.8%
11	1	0.2%
12	2	0.5%
14	1	0.2%

Value	Count	Frequency (%)
90	1	0.2%
83	1	0.2%
82	1	0.2%
81	1	0.2%
80	4	1.0%
79	1	0.2%
78	1	0.2%
76	5	1.2%
75	5	1.2%
74	3	0.8%

blood_pressure
Real number (ℝ)

Distinct	10
Distinct (%)	2.6%
Missing	12
Missing (%)	3.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.469072

Minimum	50
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	50
5-th percentile	60
Q1	70
median	80
Q3	80
95-th percentile	100
Maximum	180
Range	130
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	13.683637
Coefficient of variation (CV)	0.17894342
Kurtosis	8.6460952
Mean	76.469072
Median Absolute Deviation (MAD)	10
Skewness	1.605429
Sum	29670
Variance	187.24194
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
80	116	29.0%
70	112	28.0%
60	71	17.8%
90	53	13.2%
100	25	6.2%
50	5	1.2%
110	3	0.8%
140	1	0.2%
180	1	0.2%
120	1	0.2%
(Missing)	12	3.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	5	1.2%
60	71	17.8%
70	112	28.0%
80	116	29.0%
90	53	13.2%
100	25	6.2%
110	3	0.8%
120	1	0.2%
140	1	0.2%
180	1	0.2%

Value	Count	Frequency (%)
180	1	0.2%
140	1	0.2%
120	1	0.2%
110	3	0.8%
100	25	6.2%
90	53	13.2%
80	116	29.0%
70	112	28.0%
60	71	17.8%
50	5	1.2%

specific_gravety
Categorical

HIGH CORRELATION MISSING

Distinct	5
Distinct (%)	1.4%
Missing	47
Missing (%)	11.8%
Memory size	3.2 KiB

1.02	106
1.01	84
1.025	81
1.015	75
1.005	7

Length

Max length	5
Median length	4
Mean length	4.4617564
Min length	4

Characters and Unicode

Total characters	1575
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.02
2nd row	1.02
3rd row	1.01
4th row	1.005
5th row	1.01

Common Values

Value	Count	Frequency (%)
1.02	106	26.5%
1.01	84	21.0%
1.025	81	20.2%
1.015	75	18.8%
1.005	7	1.8%
(Missing)	47	11.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.02	106	30.0%
1.01	84	23.8%
1.025	81	22.9%
1.015	75	21.2%
1.005	7	2.0%

Most occurring characters

Value	Count	Frequency (%)
1	512	32.5%
0	360	22.9%
.	353	22.4%
2	187	11.9%
5	163	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1222	77.6%
Other Punctuation	353	22.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	512	41.9%
0	360	29.5%
2	187	15.3%
5	163	13.3%

Other Punctuation

Value	Count	Frequency (%)
.	353	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1575	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	512	32.5%
0	360	22.9%
.	353	22.4%
2	187	11.9%
5	163	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1575	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	512	32.5%
0	360	22.9%
.	353	22.4%
2	187	11.9%
5	163	10.3%

albumin
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	6
Distinct (%)	1.7%
Missing	46
Missing (%)	11.5%
Infinite	0
Infinite (%)	0.0%
Mean	1.0169492

Minimum	0
Maximum	5
Zeros	199
Zeros (%)	49.8%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.3526789
Coefficient of variation (CV)	1.3301343
Kurtosis	-0.3833766
Mean	1.0169492
Median Absolute Deviation (MAD)	0
Skewness	0.99815724
Sum	360
Variance	1.8297402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	199	49.8%
1	44	11.0%
2	43	10.8%
3	43	10.8%
4	24	6.0%
5	1	0.2%
(Missing)	46	11.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	199	49.8%
1	44	11.0%
2	43	10.8%
3	43	10.8%
4	24	6.0%
5	1	0.2%

Value	Count	Frequency (%)
5	1	0.2%
4	24	6.0%
3	43	10.8%
2	43	10.8%
1	44	11.0%
0	199	49.8%

sugar
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	6
Distinct (%)	1.7%
Missing	49
Missing (%)	12.2%
Infinite	0
Infinite (%)	0.0%
Mean	0.45014245

Minimum	0
Maximum	5
Zeros	290
Zeros (%)	72.5%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.0991913
Coefficient of variation (CV)	2.4418742
Kurtosis	5.055348
Mean	0.45014245
Median Absolute Deviation (MAD)	0
Skewness	2.4642618
Sum	158
Variance	1.2082214
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	290	72.5%
2	18	4.5%
3	14	3.5%
4	13	3.2%
1	13	3.2%
5	3	0.8%
(Missing)	49	12.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	290	72.5%
1	13	3.2%
2	18	4.5%
3	14	3.5%
4	13	3.2%
5	3	0.8%

Value	Count	Frequency (%)
5	3	0.8%
4	13	3.2%
3	14	3.5%
2	18	4.5%
1	13	3.2%
0	290	72.5%

red_blood_cells
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	0.8%
Missing	152
Missing (%)	38.0%
Memory size	3.2 KiB

normal	201
abnormal	47

Length

Max length	8
Median length	6
Mean length	6.3790323
Min length	6

Characters and Unicode

Total characters	1582
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal
2nd row	normal
3rd row	normal
4th row	normal
5th row	normal

Common Values

Value	Count	Frequency (%)
normal	201	50.2%
abnormal	47	11.8%
(Missing)	152	38.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
normal	201	81.0%
abnormal	47	19.0%

Most occurring characters

Value	Count	Frequency (%)
a	295	18.6%
n	248	15.7%
o	248	15.7%
r	248	15.7%
m	248	15.7%
l	248	15.7%
b	47	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1582	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	295	18.6%
n	248	15.7%
o	248	15.7%
r	248	15.7%
m	248	15.7%
l	248	15.7%
b	47	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1582	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	295	18.6%
n	248	15.7%
o	248	15.7%
r	248	15.7%
m	248	15.7%
l	248	15.7%
b	47	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1582	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	295	18.6%
n	248	15.7%
o	248	15.7%
r	248	15.7%
m	248	15.7%
l	248	15.7%
b	47	3.0%

pus_cell
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	0.6%
Missing	65
Missing (%)	16.2%
Memory size	3.2 KiB

normal	259
abnormal	76

Length

Max length	8
Median length	6
Mean length	6.4537313
Min length	6

Characters and Unicode

Total characters	2162
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal
2nd row	normal
3rd row	normal
4th row	abnormal
5th row	normal

Common Values

Value	Count	Frequency (%)
normal	259	64.8%
abnormal	76	19.0%
(Missing)	65	16.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
normal	259	77.3%
abnormal	76	22.7%

Most occurring characters

Value	Count	Frequency (%)
a	411	19.0%
n	335	15.5%
o	335	15.5%
r	335	15.5%
m	335	15.5%
l	335	15.5%
b	76	3.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2162	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	411	19.0%
n	335	15.5%
o	335	15.5%
r	335	15.5%
m	335	15.5%
l	335	15.5%
b	76	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2162	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	411	19.0%
n	335	15.5%
o	335	15.5%
r	335	15.5%
m	335	15.5%
l	335	15.5%
b	76	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2162	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	411	19.0%
n	335	15.5%
o	335	15.5%
r	335	15.5%
m	335	15.5%
l	335	15.5%
b	76	3.5%

pus_cell_clumps
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.5%
Missing	4
Missing (%)	1.0%
Memory size	3.2 KiB

notpresent	354
present	42

Length

Max length	10
Median length	10
Mean length	9.6818182
Min length	7

Characters and Unicode

Total characters	3834
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	notpresent
2nd row	notpresent
3rd row	notpresent
4th row	present
5th row	notpresent

Common Values

Value	Count	Frequency (%)
notpresent	354	88.5%
present	42	10.5%
(Missing)	4	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
notpresent	354	89.4%
present	42	10.6%

Most occurring characters

Value	Count	Frequency (%)
e	792	20.7%
n	750	19.6%
t	750	19.6%
p	396	10.3%
r	396	10.3%
s	396	10.3%
o	354	9.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3834	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	792	20.7%
n	750	19.6%
t	750	19.6%
p	396	10.3%
r	396	10.3%
s	396	10.3%
o	354	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3834	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	792	20.7%
n	750	19.6%
t	750	19.6%
p	396	10.3%
r	396	10.3%
s	396	10.3%
o	354	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3834	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	792	20.7%
n	750	19.6%
t	750	19.6%
p	396	10.3%
r	396	10.3%
s	396	10.3%
o	354	9.2%

bacteria
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	4
Missing (%)	1.0%
Memory size	3.2 KiB

notpresent	374
present	22

Length

Max length	10
Median length	10
Mean length	9.8333333
Min length	7

Characters and Unicode

Total characters	3894
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	notpresent
2nd row	notpresent
3rd row	notpresent
4th row	notpresent
5th row	notpresent

Common Values

Value	Count	Frequency (%)
notpresent	374	93.5%
present	22	5.5%
(Missing)	4	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
notpresent	374	94.4%
present	22	5.6%

Most occurring characters

Value	Count	Frequency (%)
e	792	20.3%
n	770	19.8%
t	770	19.8%
p	396	10.2%
r	396	10.2%
s	396	10.2%
o	374	9.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3894	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	792	20.3%
n	770	19.8%
t	770	19.8%
p	396	10.2%
r	396	10.2%
s	396	10.2%
o	374	9.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3894	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	792	20.3%
n	770	19.8%
t	770	19.8%
p	396	10.2%
r	396	10.2%
s	396	10.2%
o	374	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3894	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	792	20.3%
n	770	19.8%
t	770	19.8%
p	396	10.2%
r	396	10.2%
s	396	10.2%
o	374	9.6%

blood_glucose_random
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	146
Distinct (%)	41.0%
Missing	44
Missing (%)	11.0%
Infinite	0
Infinite (%)	0.0%
Mean	148.03652

Minimum	22
Maximum	490
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	22
5-th percentile	78.75
Q1	99
median	121
Q3	163
95-th percentile	307.25
Maximum	490
Range	468
Interquartile range (IQR)	64

Descriptive statistics

Standard deviation	79.281714
Coefficient of variation (CV)	0.53555512
Kurtosis	4.2255936
Mean	148.03652
Median Absolute Deviation (MAD)	25
Skewness	2.0107732
Sum	52701
Variance	6285.5902
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	10	2.5%
93	9	2.2%
100	9	2.2%
107	8	2.0%
131	6	1.5%
140	6	1.5%
109	6	1.5%
92	6	1.5%
117	6	1.5%
130	6	1.5%
Other values (136)	284	71.0%
(Missing)	44	11.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22	1	0.2%
70	5	1.2%
74	3	0.8%
75	2	0.5%
76	4	1.0%
78	3	0.8%
79	3	0.8%
80	2	0.5%
81	3	0.8%
82	3	0.8%

Value	Count	Frequency (%)
490	2	0.5%
463	1	0.2%
447	1	0.2%
425	1	0.2%
424	2	0.5%
423	1	0.2%
415	1	0.2%
410	1	0.2%
380	1	0.2%
360	2	0.5%

blood _urea
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	118
Distinct (%)	31.0%
Missing	19
Missing (%)	4.8%
Infinite	0
Infinite (%)	0.0%
Mean	57.425722

Minimum	1.5
Maximum	391
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	1.5
5-th percentile	17
Q1	27
median	42
Q3	66
95-th percentile	162
Maximum	391
Range	389.5
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	50.503006
Coefficient of variation (CV)	0.87944921
Kurtosis	9.3452886
Mean	57.425722
Median Absolute Deviation (MAD)	16
Skewness	2.6343745
Sum	21879.2
Variance	2550.5536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46	15	3.8%
25	13	3.2%
19	11	2.8%
40	10	2.5%
15	9	2.2%
48	9	2.2%
50	9	2.2%
18	9	2.2%
32	8	2.0%
49	8	2.0%
Other values (108)	280	70.0%
(Missing)	19	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.5	1	0.2%
10	2	0.5%
15	9	2.2%
16	7	1.8%
17	7	1.8%
18	9	2.2%
19	11	2.8%
20	7	1.8%
21	1	0.2%
22	6	1.5%

Value	Count	Frequency (%)
391	1	0.2%
322	1	0.2%
309	1	0.2%
241	1	0.2%
235	1	0.2%
223	1	0.2%
219	1	0.2%
217	1	0.2%
215	1	0.2%
208	1	0.2%

serum_creatinine
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	84
Distinct (%)	21.9%
Missing	17
Missing (%)	4.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.0724543

Minimum	0.4
Maximum	76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	0.4
5-th percentile	0.5
Q1	0.9
median	1.3
Q3	2.8
95-th percentile	11.89
Maximum	76
Range	75.6
Interquartile range (IQR)	1.9

Descriptive statistics

Standard deviation	5.7411261
Coefficient of variation (CV)	1.8685798
Kurtosis	79.304345
Mean	3.0724543
Median Absolute Deviation (MAD)	0.6
Skewness	7.5095383
Sum	1176.75
Variance	32.960529
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.2	40	10.0%
1.1	24	6.0%
0.5	23	5.8%
1	23	5.8%
0.9	22	5.5%
0.7	22	5.5%
0.6	18	4.5%
0.8	17	4.2%
2.2	10	2.5%
1.5	9	2.2%
Other values (74)	175	43.8%
(Missing)	17	4.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.4	1	0.2%
0.5	23	5.8%
0.6	18	4.5%
0.7	22	5.5%
0.8	17	4.2%
0.9	22	5.5%
1	23	5.8%
1.1	24	6.0%
1.2	40	10.0%
1.3	8	2.0%

Value	Count	Frequency (%)
76	1	0.2%
48.1	1	0.2%
32	1	0.2%
24	1	0.2%
18.1	1	0.2%
18	1	0.2%
16.9	1	0.2%
16.4	1	0.2%
15.2	1	0.2%
15	1	0.2%

sodium
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	34
Distinct (%)	10.9%
Missing	87
Missing (%)	21.8%
Infinite	0
Infinite (%)	0.0%
Mean	137.52875

Minimum	4.5
Maximum	163
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	4.5
5-th percentile	125
Q1	135
median	138
Q3	142
95-th percentile	150
Maximum	163
Range	158.5
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	10.408752
Coefficient of variation (CV)	0.075684188
Kurtosis	85.53437
Mean	137.52875
Median Absolute Deviation (MAD)	3
Skewness	-6.9965686
Sum	43046.5
Variance	108.34212
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
135	40	10.0%
140	25	6.2%
141	22	5.5%
139	21	5.2%
142	20	5.0%
138	20	5.0%
137	19	4.8%
150	17	4.2%
136	17	4.2%
147	13	3.2%
Other values (24)	99	24.8%
(Missing)	87	21.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.5	1	0.2%
104	1	0.2%
111	1	0.2%
113	2	0.5%
114	2	0.5%
115	1	0.2%
120	2	0.5%
122	2	0.5%
124	3	0.8%
125	2	0.5%

Value	Count	Frequency (%)
163	1	0.2%
150	17	4.2%
147	13	3.2%
146	10	2.5%
145	11	2.8%
144	9	2.2%
143	4	1.0%
142	20	5.0%
141	22	5.5%
140	25	6.2%

potassium
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	40
Distinct (%)	12.8%
Missing	88
Missing (%)	22.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6272436

Minimum	2.5
Maximum	47
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	2.5
5-th percentile	3.4
Q1	3.8
median	4.4
Q3	4.9
95-th percentile	5.7
Maximum	47
Range	44.5
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	3.1939042
Coefficient of variation (CV)	0.69023904
Kurtosis	142.50591
Mean	4.6272436
Median Absolute Deviation (MAD)	0.5
Skewness	11.582956
Sum	1443.7
Variance	10.201024
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
3.5	30	7.5%
5	30	7.5%
4.9	27	6.8%
4.7	17	4.2%
4.8	16	4.0%
4	14	3.5%
4.1	14	3.5%
4.4	14	3.5%
3.9	14	3.5%
3.8	14	3.5%
Other values (30)	122	30.5%
(Missing)	88	22.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.5	2	0.5%
2.7	1	0.2%
2.8	1	0.2%
2.9	3	0.8%
3	2	0.5%
3.2	3	0.8%
3.3	3	0.8%
3.4	5	1.2%
3.5	30	7.5%
3.6	8	2.0%

Value	Count	Frequency (%)
47	1	0.2%
39	1	0.2%
7.6	1	0.2%
6.6	1	0.2%
6.5	2	0.5%
6.4	1	0.2%
6.3	3	0.8%
5.9	2	0.5%
5.8	2	0.5%
5.7	4	1.0%

hemoglobine
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	115
Distinct (%)	33.0%
Missing	52
Missing (%)	13.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.526437

Minimum	3.1
Maximum	17.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	3.1
5-th percentile	7.9
Q1	10.3
median	12.65
Q3	15
95-th percentile	16.9
Maximum	17.8
Range	14.7
Interquartile range (IQR)	4.7

Descriptive statistics

Standard deviation	2.9125866
Coefficient of variation (CV)	0.23251517
Kurtosis	-0.47139804
Mean	12.526437
Median Absolute Deviation (MAD)	2.35
Skewness	-0.33509468
Sum	4359.2
Variance	8.4831608
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	16	4.0%
10.9	8	2.0%
13.6	7	1.8%
13	7	1.8%
9.8	7	1.8%
11.1	7	1.8%
10.3	6	1.5%
11.3	6	1.5%
13.9	6	1.5%
12	6	1.5%
Other values (105)	272	68.0%
(Missing)	52	13.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.1	1	0.2%
4.8	1	0.2%
5.5	1	0.2%
5.6	1	0.2%
5.8	1	0.2%
6	2	0.5%
6.1	1	0.2%
6.2	1	0.2%
6.3	1	0.2%
6.6	1	0.2%

Value	Count	Frequency (%)
17.8	3	0.8%
17.7	1	0.2%
17.6	1	0.2%
17.5	1	0.2%
17.4	2	0.5%
17.3	1	0.2%
17.2	2	0.5%
17.1	2	0.5%
17	4	1.0%
16.9	2	0.5%

packed_cell_volume
Categorical

HIGH CORRELATION MISSING

Distinct	44
Distinct (%)	13.3%
Missing	70
Missing (%)	17.5%
Memory size	3.2 KiB

52	21
41	21
48	19
44	19
40	16
Other values (39)	234

Length

Max length	3
Median length	2
Mean length	2
Min length	1

Characters and Unicode

Total characters	660
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	3.0%

Sample

1st row	44
2nd row	38
3rd row	31
4th row	32
5th row	35

Common Values

Value	Count	Frequency (%)
52	21	5.2%
41	21	5.2%
48	19	4.8%
44	19	4.8%
40	16	4.0%
43	14	3.5%
42	13	3.2%
45	13	3.2%
36	12	3.0%
33	12	3.0%
Other values (34)	170	42.5%
(Missing)	70	17.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
52	21	6.4%
41	21	6.4%
48	19	5.8%
44	19	5.8%
40	16	4.8%
43	15	4.5%
42	13	3.9%
45	13	3.9%
32	12	3.6%
50	12	3.6%
Other values (33)	169	51.2%

Most occurring characters

Value	Count	Frequency (%)
4	175	26.5%
3	129	19.5%
2	96	14.5%
5	71	10.8%
1	41	6.2%
0	38	5.8%
8	37	5.6%
6	28	4.2%
9	23	3.5%
7	19	2.9%
Other values (2)	3	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	657	99.5%
Control	2	0.3%
Other Punctuation	1	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	175	26.6%
3	129	19.6%
2	96	14.6%
5	71	10.8%
1	41	6.2%
0	38	5.8%
8	37	5.6%
6	28	4.3%
9	23	3.5%
7	19	2.9%

Control

Value	Count	Frequency (%)
	2	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	660	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	175	26.5%
3	129	19.5%
2	96	14.5%
5	71	10.8%
1	41	6.2%
0	38	5.8%
8	37	5.6%
6	28	4.2%
9	23	3.5%
7	19	2.9%
Other values (2)	3	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	175	26.5%
3	129	19.5%
2	96	14.5%
5	71	10.8%
1	41	6.2%
0	38	5.8%
8	37	5.6%
6	28	4.2%
9	23	3.5%
7	19	2.9%
Other values (2)	3	0.5%

white_blood_cell_count
Categorical

HIGH CARDINALITY MISSING

Distinct	92
Distinct (%)	31.2%
Missing	105
Missing (%)	26.2%
Memory size	3.2 KiB

9800	11
6700	10
9600	9
7200	9
9200	9
Other values (87)	247

Length

Max length	5
Median length	4
Mean length	4.2271186
Min length	2

Characters and Unicode

Total characters	1247
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	11.5%

Sample

1st row	7800
2nd row	6000
3rd row	7500
4th row	6700
5th row	7300

Common Values

Value	Count	Frequency (%)
9800	11	2.8%
6700	10	2.5%
9600	9	2.2%
7200	9	2.2%
9200	9	2.2%
6900	8	2.0%
5800	8	2.0%
11000	8	2.0%
7800	7	1.8%
7000	7	1.8%
Other values (82)	209	52.2%
(Missing)	105	26.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
9800	11	3.7%
6700	10	3.4%
9600	9	3.1%
7200	9	3.1%
9200	9	3.1%
6900	8	2.7%
5800	8	2.7%
11000	8	2.7%
7800	7	2.4%
7000	7	2.4%
Other values (80)	209	70.8%

Most occurring characters

Value	Count	Frequency (%)
0	645	51.7%
1	99	7.9%
9	75	6.0%
6	75	6.0%
7	75	6.0%
8	67	5.4%
5	66	5.3%
2	55	4.4%
4	50	4.0%
3	36	2.9%
Other values (2)	4	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1243	99.7%
Control	3	0.2%
Other Punctuation	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	645	51.9%
1	99	8.0%
9	75	6.0%
6	75	6.0%
7	75	6.0%
8	67	5.4%
5	66	5.3%
2	55	4.4%
4	50	4.0%
3	36	2.9%

Control

Value	Count	Frequency (%)
	3	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1247	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	645	51.7%
1	99	7.9%
9	75	6.0%
6	75	6.0%
7	75	6.0%
8	67	5.4%
5	66	5.3%
2	55	4.4%
4	50	4.0%
3	36	2.9%
Other values (2)	4	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1247	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	645	51.7%
1	99	7.9%
9	75	6.0%
6	75	6.0%
7	75	6.0%
8	67	5.4%
5	66	5.3%
2	55	4.4%
4	50	4.0%
3	36	2.9%
Other values (2)	4	0.3%

red_blood_cell_count
Categorical

HIGH CORRELATION MISSING

Distinct	49
Distinct (%)	18.1%
Missing	130
Missing (%)	32.5%
Memory size	3.2 KiB

5.2	18
4.5	16
4.9	14
4.7	11
3.9	10
Other values (44)	201

Length

Max length	3
Median length	3
Mean length	2.9518519
Min length	1

Characters and Unicode

Total characters	797
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	1.9%

Sample

1st row	5.2
2nd row	3.9
3rd row	4.6
4th row	4.4
5th row	5

Common Values

Value	Count	Frequency (%)
5.2	18	4.5%
4.5	16	4.0%
4.9	14	3.5%
4.7	11	2.8%
3.9	10	2.5%
4.8	10	2.5%
4.6	9	2.2%
3.4	9	2.2%
5.9	8	2.0%
5.5	8	2.0%
Other values (39)	157	39.2%
(Missing)	130	32.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
5.2	18	6.7%
4.5	16	5.9%
4.9	14	5.2%
4.7	11	4.1%
3.9	10	3.7%
4.8	10	3.7%
4.6	9	3.3%
3.4	9	3.3%
6.1	8	3.0%
3.7	8	3.0%
Other values (39)	157	58.1%

Most occurring characters

Value	Count	Frequency (%)
.	263	33.0%
5	115	14.4%
4	115	14.4%
3	75	9.4%
6	52	6.5%
2	48	6.0%
9	34	4.3%
8	27	3.4%
7	26	3.3%
1	22	2.8%
Other values (3)	20	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	532	66.8%
Other Punctuation	264	33.1%
Control	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	115	21.6%
4	115	21.6%
3	75	14.1%
6	52	9.8%
2	48	9.0%
9	34	6.4%
8	27	5.1%
7	26	4.9%
1	22	4.1%
0	18	3.4%

Other Punctuation

Value	Count	Frequency (%)
.	263	99.6%
?	1	0.4%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	797	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	263	33.0%
5	115	14.4%
4	115	14.4%
3	75	9.4%
6	52	6.5%
2	48	6.0%
9	34	4.3%
8	27	3.4%
7	26	3.3%
1	22	2.8%
Other values (3)	20	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	797	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	263	33.0%
5	115	14.4%
4	115	14.4%
3	75	9.4%
6	52	6.5%
2	48	6.0%
9	34	4.3%
8	27	3.4%
7	26	3.3%
1	22	2.8%
Other values (3)	20	2.5%

hypertension
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	2
Missing (%)	0.5%
Memory size	928.0 B

False	251
True	147
(Missing)	2

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	251	62.7%
True	147	36.8%
(Missing)	2	0.5%

diabetes_mellitias
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	1.3%
Missing	2
Missing (%)	0.5%
Memory size	3.2 KiB

no	258
yes	134
no	3
yes	2
yes	1

Length

Max length	4
Median length	2
Mean length	2.3592965
Min length	2

Characters and Unicode

Total characters	939
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	yes
2nd row	no
3rd row	yes
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	258	64.5%
yes	134	33.5%
no	3	0.8%
yes	2	0.5%
yes	1	0.2%
(Missing)	2	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	261	65.6%
yes	137	34.4%

Most occurring characters

Value	Count	Frequency (%)
n	261	27.8%
o	261	27.8%
y	137	14.6%
e	137	14.6%
s	137	14.6%
	5	0.5%
	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	933	99.4%
Control	5	0.5%
Space Separator	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	261	28.0%
o	261	28.0%
y	137	14.7%
e	137	14.7%
s	137	14.7%

Control

Value	Count	Frequency (%)
	5	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	933	99.4%
Common	6	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	261	28.0%
o	261	28.0%
y	137	14.7%
e	137	14.7%
s	137	14.7%

Common

Value	Count	Frequency (%)
	5	83.3%
	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	939	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	261	27.8%
o	261	27.8%
y	137	14.6%
e	137	14.6%
s	137	14.6%
	5	0.5%
	1	0.1%

coronary_artery_disease
Categorical

Distinct	3
Distinct (%)	0.8%
Missing	2
Missing (%)	0.5%
Memory size	3.2 KiB

no	362
yes	34
no	2

Length

Max length	3
Median length	2
Mean length	2.0904523
Min length	2

Characters and Unicode

Total characters	832
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	362	90.5%
yes	34	8.5%
no	2	0.5%
(Missing)	2	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	364	91.5%
yes	34	8.5%

Most occurring characters

Value	Count	Frequency (%)
n	364	43.8%
o	364	43.8%
y	34	4.1%
e	34	4.1%
s	34	4.1%
	2	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	830	99.8%
Control	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	364	43.9%
o	364	43.9%
y	34	4.1%
e	34	4.1%
s	34	4.1%

Control

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	830	99.8%
Common	2	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	364	43.9%
o	364	43.9%
y	34	4.1%
e	34	4.1%
s	34	4.1%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	832	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	364	43.8%
o	364	43.8%
y	34	4.1%
e	34	4.1%
s	34	4.1%
	2	0.2%

appetite
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	3.2 KiB

good	317
poor	82

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	1596
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	good
2nd row	good
3rd row	poor
4th row	poor
5th row	good

Common Values

Value	Count	Frequency (%)
good	317	79.2%
poor	82	20.5%
(Missing)	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
good	317	79.4%
poor	82	20.6%

Most occurring characters

Value	Count	Frequency (%)
o	798	50.0%
g	317	19.9%
d	317	19.9%
p	82	5.1%
r	82	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1596	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	798	50.0%
g	317	19.9%
d	317	19.9%
p	82	5.1%
r	82	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1596	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	798	50.0%
g	317	19.9%
d	317	19.9%
p	82	5.1%
r	82	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1596	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	798	50.0%
g	317	19.9%
d	317	19.9%
p	82	5.1%
r	82	5.1%

pedal_edema
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	928.0 B

False	323
True	76
(Missing)	1

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	323	80.8%
True	76	19.0%
(Missing)	1	0.2%

anemia
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	928.0 B

False	339
True	60
(Missing)	1

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	339	84.8%
True	60	15.0%
(Missing)	1	0.2%

ckd
Categorical

Distinct	3
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

ckd	248
notckd	150
ckd	2

Length

Max length	6
Median length	3
Mean length	4.13
Min length	3

Characters and Unicode

Total characters	1652
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ckd
2nd row	ckd
3rd row	ckd
4th row	ckd
5th row	ckd

Common Values

Value	Count	Frequency (%)
ckd	248	62.0%
notckd	150	37.5%
ckd	2	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ckd	250	62.5%
notckd	150	37.5%

Most occurring characters

Value	Count	Frequency (%)
c	400	24.2%
k	400	24.2%
d	400	24.2%
n	150	9.1%
o	150	9.1%
t	150	9.1%
	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1650	99.9%
Control	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	400	24.2%
k	400	24.2%
d	400	24.2%
n	150	9.1%
o	150	9.1%
t	150	9.1%

Control

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1650	99.9%
Common	2	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	400	24.2%
k	400	24.2%
d	400	24.2%
n	150	9.1%
o	150	9.1%
t	150	9.1%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1652	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	400	24.2%
k	400	24.2%
d	400	24.2%
n	150	9.1%
o	150	9.1%
t	150	9.1%
	2	0.1%

Auto

Heatmap
Table

	id	age	blood_pressure	albumin	sugar	blood_glucose_random	blood _urea	serum_creatinine	sodium	potassium	hemoglobine	specific_gravety	red_blood_cells	pus_cell	pus_cell_clumps	bacteria	packed_cell_volume	white_blood_cell_count	red_blood_cell_count	hypertension	diabetes_mellitias	coronary_artery_disease	appetite	pedal_edema	anemia	ckd
id	1.000	-0.217	-0.248	-0.611	-0.302	-0.351	-0.343	-0.601	0.489	-0.030	0.682	0.382	0.526	0.404	0.239	0.156	0.281	0.164	0.274	0.549	0.262	0.170	0.397	0.332	0.263	0.669
age	-0.217	1.000	0.123	0.213	0.281	0.299	0.309	0.350	-0.134	0.072	-0.230	0.088	0.064	0.133	0.180	0.073	0.058	0.113	0.037	0.392	0.221	0.122	0.129	0.116	0.127	0.243
blood_pressure	-0.248	0.123	1.000	0.195	0.217	0.177	0.184	0.305	-0.137	0.091	-0.276	0.170	0.390	0.290	0.157	0.127	0.414	0.138	0.432	0.357	0.234	0.000	0.254	0.160	0.286	0.306
albumin	-0.611	0.213	0.195	1.000	0.358	0.372	0.495	0.641	-0.534	0.053	-0.683	0.287	0.533	0.588	0.453	0.410	0.381	0.287	0.412	0.549	0.289	0.229	0.377	0.474	0.344	0.516
sugar	-0.302	0.281	0.217	0.358	1.000	0.602	0.223	0.356	-0.229	0.055	-0.296	0.183	0.213	0.222	0.197	0.186	0.233	0.382	0.273	0.370	0.305	0.258	0.257	0.165	0.145	0.247
blood_glucose_random	-0.351	0.299	0.177	0.372	0.602	1.000	0.195	0.359	-0.261	0.072	-0.349	0.209	0.364	0.387	0.176	0.104	0.000	0.320	0.191	0.446	0.272	0.187	0.250	0.207	0.135	0.318
blood _urea	-0.343	0.309	0.184	0.495	0.223	0.195	1.000	0.703	-0.414	0.212	-0.592	0.197	0.322	0.408	0.207	0.230	0.454	0.308	0.409	0.471	0.180	0.198	0.265	0.318	0.454	0.251
serum_creatinine	-0.601	0.350	0.305	0.641	0.356	0.359	0.703	1.000	-0.497	0.129	-0.726	0.139	0.209	0.241	0.000	0.000	0.379	0.406	0.477	0.180	0.000	0.048	0.141	0.272	0.375	0.099
sodium	0.489	-0.134	-0.137	-0.534	-0.229	-0.261	-0.414	-0.497	1.000	0.021	0.511	0.232	0.292	0.345	0.261	0.160	0.256	0.258	0.311	0.364	0.151	0.211	0.240	0.216	0.328	0.275
potassium	-0.030	0.072	0.091	0.053	0.055	0.072	0.212	0.129	0.021	1.000	-0.063	0.039	0.000	0.185	0.000	0.000	0.511	0.209	0.550	0.059	0.000	0.000	0.075	0.135	0.168	0.000
hemoglobine	0.682	-0.230	-0.276	-0.683	-0.296	-0.349	-0.592	-0.726	0.511	-0.063	1.000	0.322	0.489	0.552	0.368	0.232	0.690	0.087	0.470	0.605	0.360	0.175	0.431	0.436	0.690	0.594
specific_gravety	0.382	0.088	0.170	0.287	0.183	0.209	0.197	0.139	0.232	0.039	0.322	1.000	0.435	0.385	0.284	0.204	0.299	0.264	0.388	0.419	0.268	0.128	0.274	0.352	0.249	0.556
red_blood_cells	0.526	0.064	0.390	0.533	0.213	0.364	0.322	0.209	0.292	0.000	0.489	0.435	1.000	0.410	0.069	0.148	0.539	0.312	0.438	0.289	0.321	0.174	0.262	0.282	0.163	0.554
pus_cell	0.404	0.133	0.290	0.588	0.222	0.387	0.408	0.241	0.345	0.185	0.552	0.385	0.410	1.000	0.501	0.311	0.588	0.154	0.569	0.372	0.288	0.208	0.303	0.403	0.315	0.463
pus_cell_clumps	0.239	0.180	0.157	0.453	0.197	0.176	0.207	0.000	0.261	0.000	0.368	0.284	0.069	0.501	1.000	0.252	0.344	0.292	0.334	0.177	0.138	0.174	0.171	0.077	0.155	0.265
bacteria	0.156	0.073	0.127	0.410	0.186	0.104	0.230	0.000	0.160	0.000	0.232	0.204	0.148	0.311	0.252	1.000	0.213	0.432	0.255	0.056	0.000	0.146	0.125	0.108	0.000	0.174
packed_cell_volume	0.281	0.058	0.414	0.381	0.233	0.000	0.454	0.379	0.256	0.511	0.690	0.299	0.539	0.588	0.344	0.213	1.000	0.150	0.312	0.602	0.366	0.222	0.452	0.463	0.618	0.526
white_blood_cell_count	0.164	0.113	0.138	0.287	0.382	0.320	0.308	0.406	0.258	0.209	0.087	0.264	0.312	0.154	0.292	0.432	0.150	1.000	0.131	0.000	0.315	0.000	0.226	0.256	0.274	0.000
red_blood_cell_count	0.274	0.037	0.432	0.412	0.273	0.191	0.409	0.477	0.311	0.550	0.470	0.388	0.438	0.569	0.334	0.255	0.312	0.131	1.000	0.646	0.331	0.399	0.469	0.469	0.594	0.653
hypertension	0.549	0.392	0.357	0.549	0.370	0.446	0.471	0.180	0.364	0.059	0.605	0.419	0.289	0.372	0.177	0.056	0.602	0.000	0.646	1.000	0.602	0.319	0.333	0.360	0.336	0.588
diabetes_mellitias	0.262	0.221	0.234	0.289	0.305	0.272	0.180	0.000	0.151	0.000	0.360	0.268	0.321	0.288	0.138	0.000	0.366	0.315	0.331	0.602	1.000	0.172	0.320	0.302	0.165	0.392
coronary_artery_disease	0.170	0.122	0.000	0.229	0.258	0.187	0.198	0.048	0.211	0.000	0.175	0.128	0.174	0.208	0.174	0.146	0.222	0.000	0.399	0.319	0.172	1.000	0.142	0.159	0.000	0.159
appetite	0.397	0.129	0.254	0.377	0.257	0.250	0.265	0.141	0.240	0.075	0.431	0.274	0.262	0.303	0.171	0.125	0.452	0.226	0.469	0.333	0.320	0.142	1.000	0.406	0.241	0.404
pedal_edema	0.332	0.116	0.160	0.474	0.165	0.207	0.318	0.272	0.216	0.135	0.436	0.352	0.282	0.403	0.077	0.108	0.463	0.256	0.469	0.360	0.302	0.159	0.406	1.000	0.191	0.372
anemia	0.263	0.127	0.286	0.344	0.145	0.135	0.454	0.375	0.328	0.168	0.690	0.249	0.163	0.315	0.155	0.000	0.618	0.274	0.594	0.336	0.165	0.000	0.241	0.191	1.000	0.322
ckd	0.669	0.243	0.306	0.516	0.247	0.318	0.251	0.099	0.275	0.000	0.594	0.556	0.554	0.463	0.265	0.174	0.526	0.000	0.653	0.588	0.392	0.159	0.404	0.372	0.322	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	id	age	blood_pressure	specific_gravety	albumin	sugar	red_blood_cells	pus_cell	pus_cell_clumps	bacteria	blood_glucose_random	blood _urea	serum_creatinine	sodium	potassium	hemoglobine	packed_cell_volume	white_blood_cell_count	red_blood_cell_count	hypertension	diabetes_mellitias	coronary_artery_disease	appetite	pedal_edema	anemia	ckd
0	0	48.0	80.0	1.020	1.0	0.0	NaN	normal	notpresent	notpresent	121.0	36.0	1.2	NaN	NaN	15.4	44	7800	5.2	yes	yes	no	good	no	no	ckd
1	1	7.0	50.0	1.020	4.0	0.0	NaN	normal	notpresent	notpresent	NaN	18.0	0.8	NaN	NaN	11.3	38	6000	NaN	no	no	no	good	no	no	ckd
2	2	62.0	80.0	1.010	2.0	3.0	normal	normal	notpresent	notpresent	423.0	53.0	1.8	NaN	NaN	9.6	31	7500	NaN	no	yes	no	poor	no	yes	ckd
3	3	48.0	70.0	1.005	4.0	0.0	normal	abnormal	present	notpresent	117.0	56.0	3.8	111.0	2.5	11.2	32	6700	3.9	yes	no	no	poor	yes	yes	ckd
4	4	51.0	80.0	1.010	2.0	0.0	normal	normal	notpresent	notpresent	106.0	26.0	1.4	NaN	NaN	11.6	35	7300	4.6	no	no	no	good	no	no	ckd
5	5	60.0	90.0	1.015	3.0	0.0	NaN	NaN	notpresent	notpresent	74.0	25.0	1.1	142.0	3.2	12.2	39	7800	4.4	yes	yes	no	good	yes	no	ckd
6	6	68.0	70.0	1.010	0.0	0.0	NaN	normal	notpresent	notpresent	100.0	54.0	24.0	104.0	4.0	12.4	36	NaN	NaN	no	no	no	good	no	no	ckd
7	7	24.0	NaN	1.015	2.0	4.0	normal	abnormal	notpresent	notpresent	410.0	31.0	1.1	NaN	NaN	12.4	44	6900	5	no	yes	no	good	yes	no	ckd
8	8	52.0	100.0	1.015	3.0	0.0	normal	abnormal	present	notpresent	138.0	60.0	1.9	NaN	NaN	10.8	33	9600	4.0	yes	yes	no	good	no	yes	ckd
9	9	53.0	90.0	1.020	2.0	0.0	abnormal	abnormal	present	notpresent	70.0	107.0	7.2	114.0	3.7	9.5	29	12100	3.7	yes	yes	no	poor	no	yes	ckd

	id	age	blood_pressure	specific_gravety	red_blood_cells	pus_cell	pus_cell_clumps	bacteria	blood_glucose_random	blood _urea	serum_creatinine	sodium	potassium	hemoglobine	packed_cell_volume	white_blood_cell_count	red_blood_cell_count	hypertension	diabetes_mellitias	coronary_artery_disease	appetite	pedal_edema	anemia	ckd
390	390	52.0	80.0	1.025	normal	normal	notpresent	notpresent	99.0	25.0	0.8	135.0	3.7	15.0	52	6300	5.3	no	no	no	good	no	no	notckd
391	391	36.0	80.0	1.025	normal	normal	notpresent	notpresent	85.0	16.0	1.1	142.0	4.1	15.6	44	5800	6.3	no	no	no	good	no	no	notckd
392	392	57.0	80.0	1.020	normal	normal	notpresent	notpresent	133.0	48.0	1.2	147.0	4.3	14.8	46	6600	5.5	no	no	no	good	no	no	notckd
393	393	43.0	60.0	1.025	normal	normal	notpresent	notpresent	117.0	45.0	0.7	141.0	4.4	13.0	54	7400	5.4	no	no	no	good	no	no	notckd
394	394	50.0	80.0	1.020	normal	normal	notpresent	notpresent	137.0	46.0	0.8	139.0	5.0	14.1	45	9500	4.6	no	no	no	good	no	no	notckd
395	395	55.0	80.0	1.020	normal	normal	notpresent	notpresent	140.0	49.0	0.5	150.0	4.9	15.7	47	6700	4.9	no	no	no	good	no	no	notckd
396	396	42.0	70.0	1.025	normal	normal	notpresent	notpresent	75.0	31.0	1.2	141.0	3.5	16.5	54	7800	6.2	no	no	no	good	no	no	notckd
397	397	12.0	80.0	1.020	normal	normal	notpresent	notpresent	100.0	26.0	0.6	137.0	4.4	15.8	49	6600	5.4	no	no	no	good	no	no	notckd
398	398	17.0	60.0	1.025	normal	normal	notpresent	notpresent	114.0	50.0	1.0	135.0	4.9	14.2	51	7200	5.9	no	no	no	good	no	no	notckd
399	399	58.0	80.0	1.025	normal	normal	notpresent	notpresent	131.0	18.0	1.1	141.0	3.5	15.8	53	6800	6.1	no	no	no	good	no	no	notckd

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Control

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks